0.6 IEEE Continuing Education Units (CEUs) available for this course.

Course Description

This course explains the IEEE 1906.1-2015 - Recommended Practice for Nanoscale and Molecular Communication Framework standard. It includes an introduction to theoretical background as well as practical implementation and use-cases. Successful completion of this course will enable one to apply the standard to improve interoperability of simulation modules and actual system components.

A precise description of what a nanoscale communication network is and the minimum requirements to define it are provided. A framework for nanoscale communication networks is specified using universal building blocks. The 20 standard metrics for nanoscale communication networks will be covered in-depth. A reference model in the network simulation 3 (ns-3) is discussed to provide a practical embodiment of the standard. Finally, use-cases of the standard are described to provide practical examples of applications of the standard.

Who Should Attend

This course is of interest to anyone looking to move from “one-time, throw-away” simulation modules or components to those that will be leveraged by others and become part of viable systems. This course is also of interest to those looking to leverage interoperable components developed by others into their own systems. Finally, this course benefits those making their nanoscale systems interoperable with those of others.

Prerequisites: Basic knowledge of network simulation-3 (ns-3) or similar simulation tools is encouraged, but not required.

Course Level: Intermediate

Instructor

Stephen F. Bush

Senior Scientist, Chair of IEEE P1913

Stephen F. Bush is a Senior Scientist in the Connectivity Lab at the General Electric Global Research Center, Niskayuna, NY. Before joining GE Global Research, he was a Researcher at the Information and Telecommunications Technologies Center (ITTC), University of Kansas. He has been the Principal Investigator for many DARPA and Lockheed Martin sponsored research projects including: Active Networking (DARPA/ITO), Information Assurance and Survivability Engineering Tools (DARPA/ISO), Fault Tolerant Networking (DARPA/ATO), and most recently, Connectionless Networks (DARPA/ATO), an energy aware sensor network project. He received a Gold Cup Trophy Award from DARPA for fault tolerant networking.

He is author of Smart Grid: Communication-Enabled Intelligence for the Electric Power Grid, Nanoscale Communication Networks, and Active Networks and Active Network Management: A Proactive Management Framework and has over 100 peer-reviewed publications.

He has taught Quantum Computation and Communication at RPI and Computer Communications at the State University of New York at Albany.

Steve is Chair of IEEE P1913 - Software-Defined Quantum Communication and IEEE 1906.1-2015 - IEEE Recommended Practice for Nanoscale and Molecular Communication Framework. He is also an IEEE Distinguished Lecturer for Smart Grid and Nanoscale Communication Networks. Dr. Bush is the past chair of the IEEE Emerging Technical Subcommittee on Nanoscale, Molecular, and Quantum Networking. He is also on the steering committee for the IEEE Smart Grid Vision Project.

Stephen F Bush received the B.S. degree in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA, the M.S. degree in computer science from Cleveland State University, Cleveland, OH, and the Ph.D. degree from the University of Kansas, Lawrence.

Learning Objectives

By the end of this course you are expected to have:

The ability to define a nanoscale communication network. This is more complex than it may at first appear because there are fine distinctions that separate communication at different scales.

An understanding of the fundamental framework for a nanoscale communication network. In other words, how such a communication network is sliced and diced in order to facilitate construction and inter-operability.

An understanding of the minimum required description of a nanoscale communication network.

An understanding of why standard metrics for nanoscale communication networks are defined and what the metrics are.

An understanding of how nanoscale communication is used including use-cases for such networks.

An understand of the standard reference implementation and how it can be leveraged.

Be prepared to propose future extensions to the standard. The standard provides a solid, common base upon which more specific nanoscale communication systems can be defined.

Course Content

1. Overview of IEEE 1906.1-2015

1.1 Scope

1.2 Purpose

2. Definition of a molecular and nanoscale communication network

2.1 Main definition

2.2 Expanded definition

3. Framework of a molecular and nanoscale communication network

3.1 Context

3.1.1 The Scale Spectrum

3.2 Framework

3.2.1 Goals and Philosophy

3.2.2 Cross-layer and Active Networks

3.3 Framework components

3.3.1 1906 Component Examples

3.4 Nanoscale communication network description

3.4.1 1906 Components as Universal Building Blocks

3.4.2 Essential Definition of s a System

4. Metrics

4.1 Goals and Philosophy

4.1.1 Message Deliverability

4.1.2 Message Lifetime

4.1.3 Information Density

4.1.4 Bandwidth-Delay Product

4.1.5 Information and Communication Energy

4.1.6 Collision Behavior

4.1.7 Mass Displacement

4.1.8 Positioning Accuracy of Message Carriers

4.1.9 Persistence Length

4.1.10 Diffusive Flux

4.1.11 Langevin Noise

4.1.12 Specificity

4.1.13 Affinity

4.1.14 Sensitivity

4.1.15 Angular (angle-of-arrival) Spectrum

4.1.16 Delay (time-of-arrival) Spectrum

4.1.17 Active Network Programmability

4.1.18 Perturbation Rate

4.1.19 Supersystem Degradation

4.1.20 Bandwidth-Volume Ratio

5. Reference model

5.1 Implementation detail

5.1.1 ns-3 simulator IEEE 1906.1-2015 simulation API

5.2 Electromagnetic (EM) communication IEEE 1906.1-2015 simulation

5.3 Molecular communication IEEE 1906.1-2015 simulation

6. Use-cases

6.1 Lab-On-Chip application: nano-intravital device

6.2 Targeted drug delivery with CRLX101

6.3 Contrast-enhanced medical imaging

6.4 Wireless nanosensor networks

7. Bibliography

Course Materials

Each registered participant receives a copy of instructor slides and access to the recording of the course for 15 business days after the live lecture. You will earn 0.6 IEEE Continuing Education Untis for participation in this course and completion of the course evaluation.

Course Cancellation and Refund Policy: Requests for online course cancellations must be received 3 business days prior to the course date for a full refund. Once course materials have been shared with a participant, cancellation and refund requests cannot be accommodated.